认知无线电网络中功率控制方法的研究

分布式功率控制是认知无线电系统常用的功率控制方法之一.将非合作博弈论的方法应用于认知无线电的功率控制上,在Goodman所提出NPG模型以及NPGP模型上来进行代价函数的改进,并提出一种新的博弈算法来实现对认知无线电系统的功率控制.该算法不仅考虑到系统用户之间的公平性,同时还考虑到认知用户之间干扰的影响,并通过理论证明了其纳什均衡的存在性与唯一性.仿真结果表明,该算法不仅能使用户发射功率降低,同时还可以使用户的效用提高,并且收敛性较好.

Power control game algorithm for cognitive radio networks

The distributed power control is a common method of power control in cognitive radio systems.Non-cooperation game theory is applied to model the power control of the transmitter in the basic cognitive cycle.Based on the models of NPG and NPGP proposed by David Goodman,an improved pricing function is adopted and a new power control game algorithm of power control for the cognitive radio system is proposed.The algorithm takes account of the fairness between the users of the systems,as well as the impact of cognitive interference between users.Then the existence and uniqueness of the Nash equilibrium are proved theoretically for the proposed algorithm.The simulation results show that the proposed algorithm not only reduces the transmit power,but also improves the utility;besides,the convergence is better.